2018
DOI: 10.3390/mi9060282
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Measuring Single-Molecule Conductance at An Ultra-Low Molecular Concentration in Vacuum

Abstract: We report on systematic investigation of single-molecule detection mechanisms in break junction experiments in vacuum. We found molecular feature in the conductance traces at an extremely low concentration of molecules of 10 nM. This was attributed to condensation of the molecular solution on the junction surface upon evaporation of the solvent during evacuation. Furthermore, statistical analyses of the temporal dependence of molecular junction formation probabilities suggested accumulation effects of the cont… Show more

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Cited by 5 publications
(8 citation statements)
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References 25 publications
(31 reference statements)
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“…The result can be explained by the effect of surface migration of C 8 DT molecules letting them accumulate near the electrode gap. 23 These findings are certainly not possible by the histogrambased conventional analyses that can only evaluate a major feature of molecular junctions.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
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“…The result can be explained by the effect of surface migration of C 8 DT molecules letting them accumulate near the electrode gap. 23 These findings are certainly not possible by the histogrambased conventional analyses that can only evaluate a major feature of molecular junctions.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…These molecules bind to Au electrodes via their terminal thiol groups. Previous studies have shown that transport through the above relatively short alkanedithiols at ambient temperature can be approximated by a nonresonant quantum tunneling process characterized by exponential dependence of the single-molecule conductance on the chain length with well-defined decay constant. We therefore considered only the tunneling contributions and assumed other factors such as charge hopping to be negligibly weak for the carbon chains employed .…”
Section: Resultsmentioning
confidence: 99%
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“…With the help of these methods, several approved drugs have been developed [23][24][25][26][27][28]. For example, the discovery of amprenavir as a potential inhibitor of the human immunodeficiency virus (HIV) protease using protein modeling and MD simulations [29], imatinib as an inhibitor of the tyrosine kinase using SBDD [30], amprenavir as a potential inhibitor of the human immunodeficiency virus (HIV) protease using protein modeling and MD simulations [31,32], thymidylate synthase inhibitor, raltitrexed against HIV using the SBDD approach [33], Norfloxacin as an inhibitor of topoisomerase II, IV using QSAR modeling [32], and darolutamide as an inhibitor of androgen receptor using docking and MD simulations [34].…”
Section: Introductionmentioning
confidence: 99%